AI Provider Profile

Microsoft Sustainability Profile

High Transparency

Environmental impact data for 4 tracked Microsoft models.

4
Models tracked
0.59 Wh
Avg. energy / query
2
Categories
4
Open-source

Sustainability Profile

Renewable Energy

34 GW contracted

Emissions Trend

+23.4% since 2020

Water Trend

WUE improved 39%

Transparency Rating

High

Carbon negative by 2030 goal. Launched zero-water cooling designs.

How Microsoft Compares

Microsoft's average metrics compared to the full dataset of 152 models

Energy / query

This provider0.59 Wh
Dataset avg.48.1 Wh
Difference-99%

CO2 / query

Provider avg.0.26 g
Dataset avg.14.5 g
Difference-98%

Water / query

Provider avg.2 mL
Dataset avg.105 mL
Difference-98%

Environmental Overview

Microsoft offers 4 models in our database, focusing on text / chat and multimodal. Their models are notably efficient, averaging 0.59 Wh per query — less than half the dataset average of 48.1 Wh. Their lineup spans from Phi-4 Mini (0.08 Wh) to Phi-4 Reasoning (1.8 Wh), showing meaningful variation in energy needs. All of their tracked models have open-source weights, enabling community-driven optimization and independent efficiency benchmarking. Microsoft demonstrates strong environmental transparency, publishing detailed sustainability metrics. Carbon negative by 2030 goal. Launched zero-water cooling designs.

Frequently Asked Questions

How many AI models does Microsoft have?

Microsoft has 4 AI models tracked in the Know Your Compute database, spanning 2 categories: Text / Chat, Multimodal.

What is Microsoft's most energy-efficient model?

Microsoft's most energy-efficient model is Phi-4 Mini, consuming 0.08 Wh per query. Their least efficient model is Phi-4 Reasoning at 1.8 Wh per query.

Does Microsoft use renewable energy?

Microsoft's renewable energy claim: 34 GW contracted. Carbon negative by 2030 goal. Launched zero-water cooling designs.

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Use our calculator to estimate your personal environmental impact from Microsoft models.

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